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* examples: cache hf model when --model not provided
* examples: cache hf model when --model not provided
* examples: cache hf model when --model not provided
* examples: cache hf model when --model not provided
* examples: cache hf model when --model not provided
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(#7191)
* logging: add proper checks for clang to avoid errors and warnings with VA_ARGS
* build: add CMake Presets and toolchian files for Windows ARM64
* matmul-int8: enable matmul-int8 with MSVC and fix Clang warnings
* ci: add support for optimized Windows ARM64 builds with MSVC and LLVM
* matmul-int8: fixed typos in q8_0_q8_0 matmuls
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* matmul-int8: remove unnecessary casts in q8_0_q8_0
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* ggml : add RPC backend
The RPC backend proxies all operations to a remote server which runs a
regular backend (CPU, CUDA, Metal, etc).
* set TCP_NODELAY
* add CI workflows
* Address review comments
* fix warning
* implement llama_max_devices() for RPC
* Address review comments
* Address review comments
* wrap sockfd into a struct
* implement get_alignment and get_max_size
* add get_device_memory
* fix warning
* win32 support
* add README
* readme : trim trailing whitespace
* Address review comments
* win32 fix
* Address review comments
* fix compile warnings on macos
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The llama.cpp grammar parser had a bug where forgetting to add a closing
quotation mark to strings would cause parsing to crash. Anyone running a
server on a public endpoint is advised to upgrade. To reproduce this bug
./llamafile -m foo.gguf -p bar --grammar 'root::="'
Credit for discovering and reporting this issue goes to Eclypsium
Security Researcher Richard Johnson <Richard.johnson@eclypsium.com>.
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@hanishkvc added a new `--interactive-specials` flag which would allow for inserting special tokens from user side into the embedding stream.
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* server: normalize token probabilities
* fix temperature == 0.0f
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ROCm clang defines _MSC_VER which results in the wrong implementation of LOG_IMPL and LOG_TEE_IMPL being compiled.
This fixes https://github.com/ggerganov/llama.cpp/issues/6972
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* perplexity: more statistics, added documentation
* add LLaMA 3 8b scoreboard
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* ggml : add ggml_flash_attn_ext API
* ggml : fix GQA support in ggml_flash_attn_ext
* ggml : online attention (CPU)
* metal : initial implementation
* metal : f16 precision
* metal : reduce branches
* metal : specialize for head size
* wip : 8 rows per simd group
* wip : 4 rows per simd group
* wip : template for rows per warp
* metal : parallelize across KV size
* metal : parallel reduce across heads
* metal : efficient flash_attn_f16 implementation
* metal : avoid redundant loads of the attention
* metal : scale and mask in matrix form
* metal : fix comment
* llama : avoid ggml_cast, use F32 query
* metal : add parallel reduce version (disabled)
* metal : move output into local memory + optimize
- the result from each simdgroup now stays in the registers
- significantly reduced SRAM usage
- more efficient skipping of -INF blocks
- avoid simdgroup barrier in hot loop
- add comments
* metal : add tests, fix scaling, support C > 32
* metal : improve precision
* ggml : fix f16 mad
* metal : minor
* metal : support Q > 8
* tests : add ATTN tests
* metal : disable buffer allocation logs
* tests : more
* metal : faster inner loop for C == 32
* metal : fix array initialization
* tests : ifdef
* ggml : switch to padded F16 mask for ggml_soft_max, ggml_flash_attn_ext
* ggml : fix ggml_soft_max mask requirement
* cuda : fix soft_max to use correct mask size
* cuda : add flash_attn kernel (wip)
* metal : optimize softmax for C > 32
* metal : optimize softmax
* tests : minor fix
* cuda : avoid zeroing fragments
* tests : update dims
* cuda : fix __hisinf() result check
* cuda : avoid warp_reduce for smax
* cuda : use int instead of int64_t
Noticeably improves performance (thanks to Johannes)
* cuda : make loops use the same loop values
Thanks Johannes again for the tip
* cuda : unroll some of the loops
* cuda : avoid __hisinf branches
* cuda : use half2 in softmax
* cuda : switch to 1 warp for bs > 16
* cuda : speed-up reduce part of the kernel
* cuda : unroll Q*K^T loop
* cuda : fix -INF block check
* cuda : simplify softmax
* cuda : fix matrix names
* cuda : minor
* llama : adapt to F16 KQ_pos
* llama : adapt new models to F16 KQ_mask
* ggml : fix F16 store (ARM NEON)
* llama : fix type of KQ_mask and KQ_pos
* ggml : fix CPU soft_max
* tests : add hs=256
* cuda : fix build
* metal : improve perf via smaller int registers
* cuda : adapt soft_max to F16 mask and pos
* CUDA: faster FlashAttention, kernel for bs == 1
* 16 cols for Phi-2
* no vec for hs, no hs==256 ncols==32 for Volta
* adjust kernel selection logic
* 4 warps, 256 stride for all D
* no ncols == 64
* Multiple parallel blocks for batch size 1
* fix compile warnings
* fix excessive KQ_b loads
* fix cmake build
* fix KV cache padding, NaN from INFINITY (#6438)
* llama : flash_attn cparam + fix defrag
* server: support flash_attn param
* server: bench: enable flash_attn param
* CUDA: refactor host code, dyn. par. blocks
* fix flash_attn_vec_f16 race condition
* flush softmax exp below threshold to 0
* store temp KQ in registers
* Calculate KQ as FP32 if KQV has GGML_PREC_F32
* Add __hgt2_mask implementation for CUDA 11
* fix KQ FP32 precision fpr parallel_blocks > 1
* llama-bench : add -fa,--flash-attn arg
* metal : add BS=1 kernel for flash attention (#6508)
* metal : add BS=1 kernel for flash attention (wip)
* metal : support more than 1 warps
* metal : opts
* metal : opt
* metal : switch to parallel reduce
* metal : reduce registers
* metal : simplify
* metal : initial FA vec kernel
* metal : use F32 attention accumulators
* batched-bench : add fattn arg
* llama : simplify llama_build_kv_store
ggml-ci
* llama : adapt build_olmo to changes
* ggml : fix arm fp16 store on windows
* metal : clean-up
* metal : clean-up kernel code
* metal : minor
* tests : remove benchmarks
ggml-ci
* ggml : fix avx512 const correctness
ggml-ci
* ggml : fix soft_max with bias on CPU
ggml-ci
* common : print --flash-attn in help
* ggml : fix num dimensions in ggml_flash_attn_ext
* llama : force disable flash attention for incompatible models
* ggml : ggml_soft_max support F16/F32 mask/pos
ggml-ci
* cuda : uint -> uint32_t
* cuda : "constexpr dim3" -> "const dim3"
ggml-ci
* cuda : try to fix __hgt2_mask
ggml-ci
* ggml : add TODO's for F16/F32 mask/pos support in other backends
* llama : replace bool need_kq_pos with use_alibi
* llama : prep ALiBi support for BERT models
ggml-ci
* llama : fix n_batch requirements
ggml-ci
* cont
* server : add help for --flash-attn arg
* llama : disable FA for AMD
* tests : remove TMP_ATTN_BENCH
ggml-ci
* llama : support save/load state with FA enabled
ggml-ci
* ci : add CUDA save-load-state tests
ggml-ci
* llama : llama_kv_cache_clear zeroes data + fix save-load seq
ggml-ci
* llama : fix copy-paste errors, add TODO
* llama : disallow incompatible states
* llama : update llama_state_get_size after v_trans field
* metal : remove tmp log
* llama : add static reminder for llama_state_get_size
* metal : fix max nsg
ggml-ci
* ci : fix arg order
ggml-ci
---------
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
Co-authored-by: Pierrick HYMBERT <pierrick.hymbert@gmail.com>
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* args: default --model to models/ + filename from --model-url or --hf-file (or else legacy models/7B/ggml-model-f16.gguf)
* args: main & server now call gpt_params_handle_model_default
* args: define DEFAULT_MODEL_PATH + update cli docs
* curl: check url of previous download (.json metadata w/ url, etag & lastModified)
* args: fix update to quantize-stats.cpp
* curl: support legacy .etag / .lastModified companion files
* curl: rm legacy .etag file support
* curl: reuse regex across headers callback calls
* curl: unique_ptr to manage lifecycle of curl & outfile
* curl: nit: no need for multiline regex flag
* curl: update failed test (model file collision) + gitignore *.gguf.json
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Co-authored-by: root <root@nenya.lothlorien.ca>
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* merged the changes from deepseeker models to main branch
* Moved regex patterns to unicode.cpp and updated unicode.h
* Moved header files
* Resolved issues
* added and refactored unicode_regex_split and related functions
* Updated/merged the deepseek coder pr
* Refactored code
* Adding unicode regex mappings
* Adding unicode regex function
* Added needed functionality, testing remains
* Fixed issues
* Fixed issue with gpt2 regex custom preprocessor
* unicode : fix? unicode_wstring_to_utf8
* lint : fix whitespaces
* tests : add tokenizer tests for numbers
* unicode : remove redundant headers
* tests : remove and rename tokenizer test scripts
* tests : add sample usage
* gguf-py : reader prints warnings on duplicate keys
* llama : towards llama3 tokenization support (wip)
* unicode : shot in the dark to fix tests on Windows
* unicode : first try custom implementations
* convert : add "tokenizer.ggml.pre" GGUF KV (wip)
* llama : use new pre-tokenizer type
* convert : fix pre-tokenizer type writing
* lint : fix
* make : add test-tokenizer-0-llama-v3
* wip
* models : add llama v3 vocab file
* llama : adapt punctuation regex + add llama 3 regex
* minor
* unicode : set bomb
* unicode : set bomb
* unicode : always use std::wregex
* unicode : support \p{N}, \p{L} and \p{P} natively
* unicode : try fix windows
* unicode : category support via std::regex
* unicode : clean-up
* unicode : simplify
* convert : add convert-hf-to-gguf-update.py
ggml-ci
* lint : update
* convert : add falcon
ggml-ci
* unicode : normalize signatures
* lint : fix
* lint : fix
* convert : remove unused functions
* convert : add comments
* convert : exercise contractions
ggml-ci
* lint : fix
* cmake : refactor test targets
* tests : refactor vocab tests
ggml-ci
* tests : add more vocabs and tests
ggml-ci
* unicode : cleanup
* scripts : ignore new update script in check-requirements.sh
* models : add phi-3, mpt, gpt-2, starcoder
* tests : disable obsolete
ggml-ci
* tests : use faster bpe test
ggml-ci
* llama : more prominent warning for old BPE models
* tests : disable test-tokenizer-1-bpe due to slowness
ggml-ci
---------
Co-authored-by: Jaggzh <jaggz.h@gmail.com>
Co-authored-by: Kazim Abrar Mahi <kazimabrarmahi135@gmail.com>
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(#6949)
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* imatrix: save the dataset file used in the output file
* llama: support kv overrides type string string
* common: factorize KV Overrides parsing between common and server
* quantize: add imatrix n entries and dataset KV metadata
quantize: factorize KV Overrides parsing between common
#6656
* llama: remove kv override str_value initialization as it does not compile on some toolchain
* quantize: add imatrix m_last_call as `quantize.imatrix.chunks_count`
* quantize: add imatrix filename in KV
* llama: add llama_model_kv_override_free
* common: add llama_model_kv_override_free
common: free kv override if used after model loading
* llama: finally move the string KV override value to the stack
* llama : minor
* no need to add a NUL to the std::vector, std::string can be initialized from a pair of iterators.
Co-authored-by: slaren <slarengh@gmail.com>
* kv override: ensure string termination
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
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* add basic tensor data validation function
* add --check-tensors command line argument
tensor validation is disabled by default and can be enabled by adding
`--check-tensors` to the command line arguments.
quantize always validates tensors.
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* add llama_get_pooling_type function
* fix argument name, move with ctx funcs
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* fix: revert showing control tokens by default
* feat: revert changes to default behavior of llama_token_to_piece; provide overridden declaration to receive "bool special" param to toggle showing control tokens
* feat: use the overridden declaration of llama_token_to_piece from common/common.cpp to specify "false" so that control tokens are not shown in chat completion responses"
* common : simplify
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* Server: add tests for consistent results
* sampling: separate rng per sampling context
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* make : fix common dep on llama.h
* llama : add option to render special tokens
* readme : add API change notice
ggml-ci
* swift : fix build
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* common : disable get_math_cpu_count() until Android CI gets fixed
* common : another try
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This change upstreams llamafile's cpu matrix multiplication kernels
which improve image and prompt evaluation speed. For starters, Q4_0
and Q8_0 weights should go ~40% faster on CPU. The biggest benefits
are with data types like f16 / f32, which process prompts 2x faster
thus making them faster than quantized data types for prompt evals.
This change also introduces bona fide AVX512 support since tinyBLAS
is able to exploit the larger register file. For example, on my CPU
llama.cpp llava-cli processes an image prompt at 305 tokens/second,
using the Q4_K and Q4_0 types, which has always been faster than if
we used f16 LLaVA weights, which at HEAD go 188 tokens/second. With
this change, f16 LLaVA performance leap frogs to 464 tokens/second.
On Intel Core i9-14900K this change improves F16 prompt perf by 5x.
For example, using llama.cpp at HEAD with Mistral 7b f16 to process
a 215 token prompt will go 13 tok/sec. This change has fixes making
it go 52 tok/sec. It's mostly thanks to my vectorized outer product
kernels but also because I added support for correctly counting the
number of cores on Alderlake, so the default thread count discounts
Intel's new efficiency cores. Only Linux right now can count cores.
This work was sponsored by Mozilla who's given permission to change
the license of this code from Apache 2.0 to MIT. To read more about
what's improved, and how it works, see: https://justine.lol/matmul/
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* main: add --json-schema / -j
* json: move json-schema-to-grammar to common lib
* json: fix zig build
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strings, cap number length (#6555)
* json: rename python schema converter to make import easier
* server: skip null json_schema / grammar fields
* json: deps management for primitive rules (+ allow null values)
* json: optimize repetitions for minItems/maxItems and regexps: `a{,3}` goes from `"a"? "a"? "a"?` (explosive combos) to `(a (a (a)?)?)?`
* grammars: add troubleshooting section to readme
* json: cap length of numbers to 15 digits before/after decimal point
(avoids infinite gen, e.g. "one third" -> `0.333333333333...`)
* json: unify all repetition code (w/ or w/o sep)
* json: support string minLength/maxLength
* server+json: update server/README w/ result_format
* nits
* json: fix type error w/ python 3.8
* json: fix server/README (json_schema in /completion vs. result_format in /v1/chat/completions)
* json: simplify DOT `{"type": "string", "pattern": "^.$"}`
* json: remove recursion in opt_repetitions (avoids Python stack overflow)
* json: rm dead code
* json: rm useless assert & ggml.h import
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* gguf-debug: Example how to use ggml callback for debugging
* gguf-debug: no mutex, verify type, fix stride.
* llama: cv eval: move cb eval field in common gpt_params
* ggml_debug: use common gpt_params to pass cb eval.
Fix get tensor SIGV random.
* ggml_debug: ci: add tests
* ggml_debug: EOL in CMakeLists.txt
* ggml_debug: Remove unused param n_batch, no batching here
* ggml_debug: fix trailing spaces
* ggml_debug: fix trailing spaces
* common: fix cb_eval and user data not initialized
* ci: build revert label
* ggml_debug: add main test label
* doc: add a model: add a link to ggml-debug
* ggml-debug: add to make toolchain
* ggml-debug: tests add the main label
* ggml-debug: ci add test curl label
* common: allow the warmup to be disabled in llama_init_from_gpt_params
* ci: add curl test
* ggml-debug: better tensor type support
* gitignore : ggml-debug
* ggml-debug: printing also the sum of each tensor
* ggml-debug: remove block size
* eval-callback: renamed from ggml-debug
* eval-callback: fix make toolchain
---------
Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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Key changes:
* BERT conversion: fix abuse of LlamaHfVocab, do not set BOS or EOS
* Nomic Embed conversion: pad vocab instead of slicing embedding tensor
* llama_tokenize: handle added special tokens like HF does
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* llama_sampling_sample with default args is more naively usable
* Batches populated by either llama_batch_get_one or llama_batch_add work with default args
* Previously get_one could use the default argument
* Previously add should usually have used the last index where logits[idx] == true
* This hopefully encourages the use of llama_batch_add
* By giving expected results when using default arguments.
* Adds "negative indexing" feature to llama_get_logits_ith and llama_get_embeddings_ith
* Believed to work with any currently well behaved program
* Default arg now works for both cases (previously would give strange results for add case)
* Any non-negative number is unaffected and behaves as previously
* Negative arguments were previously invalid.
* Implemented as a special case of indexing as suggested by @compilade in https://github.com/ggerganov/llama.cpp/pull/6519
* Fixed mismatch type errors
* cited in macOS CI tests
* Missed in original updates based on PR feedback in https://github.com/ggerganov/llama.cpp/pull/6519
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* llama : save and restore kv cache for single seq id
* remove trailing whitespace
* respond error in case there's no space in the kv cache
* add kv seq save restore to test case
* add --slot-save-path arg to enable save restore and restrict save location
* Returning 0 for some cases, instead of asserting.
* cleanup error cases
* rename sequence state functions
* rename state get set functions
* add previous function names back in with DEPRECATED notice
* update doc
* adjust endpoints to preferred style
* fix restoring zero cell count
* handle seq rm return value
* unused param
* keep in the size check
* fix return types
* add server test case for slot save restore
* cleanup
* add cake
* cleanup style
* add special
* removing a whole sequence never fails
* move sequence state file functionality from server to llama to match session api and add version tags
* catch exceptions on save as well
* error log messages
* check types for stricter restore
* update server doc
* readme : update API changes date
* strict filename validation
* move include, reject bom as well
* also reject empty filename
* reject whitespace and trailing dot
---------
Co-authored-by: Martin Evans <martindevans@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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This commit removes one of the two identical checks for curl being NULL
in llama_load_model_from_url.
Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
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* Change --no-penalize-nl to --penalize-nl
* Update documentation too
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* fix LOG() error for SYCL, enhance erro check by CI
* rollback to bash
* add newline at end of file
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* add `retrieval` example
* add README
* minor fixes
* cast filepos on print
* remove use of variable sized array
* store similarities in separate vector
* print error on insufficient batch size
* fix error message printing
* assign n_batch value to n_ubatch
* fix param definitions
* define retrieval-only parameters in retrieval.cpp
* fix `--context-file` option to be provided multiple times for multiple files
* use vector for `query_emb`
* add usage description in README
* fix merge conflict
* fix usage printing
* remove seed setting
* fix lint
* increase file read buffer size
* retrieval : minor
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* sampling: remove duplicated code for probability distribution access
* free original_logits
* fix original_logits allocation
* fixes based on review @cebtenzzre
* change function name to `llama_sampling_prepare`
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* llama: llama_split_prefix fix strncpy does not include string termination
common: llama_load_model_from_url:
- fix header name case sensitive
- support downloading additional split in parallel
- hide password in url
* common: EOL EOF
* common: remove redundant LLAMA_CURL_MAX_PATH_LENGTH definition
* common: change max url max length
* common: minor comment
* server: support HF URL options
* llama: llama_model_loader fix log
* common: use a constant for max url length
* common: clean up curl if file cannot be loaded in gguf
* server: tests: add split tests, and HF options params
* common: move llama_download_hide_password_in_url inside llama_download_file as a lambda
* server: tests: enable back Release test on PR
* spacing
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* spacing
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* spacing
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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* lookup: evaluation tools, use corpus/previous gens
* fixup! lookup: evaluation tools, use corpus/previous gens
* fixup! lookup: evaluation tools, use corpus/previous gens
* fixup! lookup: evaluation tools, use corpus/previous gens
* fixup! lookup: evaluation tools, use corpus/previous gens
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* common : add HF arg helpers
* common : remove defaults
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* json: ordered json in server/schema converter to respect orig order
* json: ws nits
* json: support non-string const / enums
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* metal : require ne00 >= 128 for mat-mat kernels
ggml-ci
* llama : pad n_ctx by 32
ggml-ci
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* Fix params underscore convert to dash.
* Update common/common.cpp
---------
Co-authored-by: slaren <slarengh@gmail.com>
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* json: fix arrays (disallow `[,1]`)
* json: support tuple types (`[number, string]`)
* json: support additionalProperties (`{[k: string]: [string,number][]}`)
* json: support required / optional properties
* json: add support for pattern
* json: resolve $ref (and support https schema urls)
* json: fix $ref resolution
* join: support union types (mostly for nullable types I think)
* json: support allOf + nested anyOf
* json: support any (`{}` or `{type: object}`)
* json: fix merge
* json: temp fix for escapes
* json: spaces in output and unrestricted output spaces
* json: add typings
* json:fix typo
* Create ts-type-to-grammar.sh
* json: fix _format_literal (json.dumps already escapes quotes)
* json: merge lit sequences and handle negatives
{"type": "string", "pattern": "^({\"question\": \"[^\"]+\", \"response\": \"[^\"]+\"}\\n)+$"}
* json: handle pattern repetitions
* Update json-schema-to-grammar.mjs
* Create regex-to-grammar.py
* json: extract repeated regexp patterns to subrule
* Update json-schema-to-grammar.py
* Update json-schema-to-grammar.py
* Update json-schema-to-grammar.py
* json: handle schema from pydantic Optional fields
* Update json-schema-to-grammar.py
* Update json-schema-to-grammar.py
* Update ts-type-to-grammar.sh
* Update ts-type-to-grammar.sh
* json: simplify nullable fields handling
* json: accept duplicate identical rules
* json: revert space to 1 at most
* json: reuse regexp pattern subrules
* json: handle uuid string format
* json: fix literal escapes
* json: add --allow-fetch
* json: simplify range escapes
* json: support negative ranges in patterns
* Delete commit.txt
* json: custom regex parser, adds dot support & JS-portable
* json: rm trailing spaces
* Update json-schema-to-grammar.mjs
* json: updated server & chat `( cd examples/server && ./deps.sh )`
* json: port fixes from mjs to python
* Update ts-type-to-grammar.sh
* json: support prefixItems alongside array items
* json: add date format + fix uuid
* json: add date, time, date-time formats
* json: preserve order of props from TS defs
* json: port schema converter to C++, wire in ./server
* json: nits
* Update json-schema-to-grammar.cpp
* Update json-schema-to-grammar.cpp
* Update json-schema-to-grammar.cpp
* json: fix mjs implementation + align outputs
* Update json-schema-to-grammar.mjs.hpp
* json: test C++, JS & Python versions
* json: nits + regen deps
* json: cleanup test
* json: revert from c++17 to 11
* json: nit fixes
* json: dirty include for test
* json: fix zig build
* json: pass static command to std::system in tests (fixed temp files)
* json: fix top-level $refs
* json: don't use c++20 designated initializers
* nit
* json: basic support for reserved names `{number:{number:{root:number}}}`
* Revamp test cmake to allow args (WORKING_DIRECTORY needed for JSON test)
* json: re-ran server deps.sh
* json: simplify test
* json: support mix of additional props & required/optional
* json: add tests for some expected failures
* json: fix type=const in c++, add failure expectations for non-str const&enum
* json: test (& simplify output of) empty schema
* json: check parsing in test + fix value & string refs
* json: add server tests for OAI JSON response_format
* json: test/fix top-level anyOf
* json: improve grammar parsing failures
* json: test/fix additional props corner cases
* json: fix string patterns (was missing quotes)
* json: ws nit
* json: fix json handling in server when there's no response_format
* json: catch schema conversion errors in server
* json: don't complain about unknown format type in server if unset
* json: cleaner build of test
* json: create examples/json-schema-pydantic-example.py
* json: fix date pattern
* json: move json.hpp & json-schema-to-grammar.{cpp,h} to common
* json: indent 4 spaces
* json: fix naming of top-level c++ function (+ drop unused one)
* json: avoid using namespace std
* json: fix zig build
* Update server.feature
* json: iostream -> fprintf
* json: space before & refs for consistency
* json: nits
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